Yunfeng Zhang is a Machine Learning Software Engineer with a decade of experience building responsible, production-grade AI systems and MLOps infrastructure, currently advancing search, ranking, and RAG at Superhuman. He blends deep research pedigree—over 50 publications, 2,000+ citations, and 13 patent filings—with hands-on engineering leadership across startups and large tech (Twitter, IBM), where he built company-wide fairness tooling and evaluation pipelines. Known for translating fairness and interpretability research into scalable systems, he led the development of Twitter’s Fairness Evaluator and helped create IBM’s AI Fairness 360 and Explainability 360 toolkits. Yunfeng has repeatedly accelerated model training and robustness in production settings (2–10x improvements) and introduced survival modeling frameworks for product teams, showing a rare mix of academic rigor and measurable product impact. Based in New York with a PhD in Computer Science, he combines human-centered AI research roots with practical infrastructure delivery that embeds responsible ML into everyday workflows.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Oregon
B.S. Information Science and Technology, B.S. Information Science and Technology at Beijing Normal University
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